Matrix: Pajek/ODLIS

Description: Pajek network: online dictionary of library & inf. sci

Pajek/ODLIS graph Pajek/ODLIS graph
(bipartite graph drawing) (graph drawing of A+A')


Pajek/ODLIS
scc of Pajek/ODLIS

  • Home page of the UF Sparse Matrix Collection
  • Matrix group: Pajek
  • Click here for a description of the Pajek group.
  • Click here for a list of all matrices
  • Click here for a list of all matrix groups
  • download as a MATLAB mat-file, file size: 68 KB. Use UFget(1512) or UFget('Pajek/ODLIS') in MATLAB.
  • download in Matrix Market format, file size: 71 KB.
  • download in Rutherford/Boeing format, file size: 57 KB.

    Matrix properties
    number of rows2,909
    number of columns2,909
    nonzeros18,246
    # strongly connected comp.1,028
    explicit zero entries0
    nonzero pattern symmetry 20%
    numeric value symmetry 20%
    typeinteger
    structureunsymmetric
    Cholesky candidate?no
    positive definite?no

    authorJ. Reitz
    editorV. Batagelj, A. Mrvar
    date2000
    kinddirected multigraph
    2D/3D problem?no

    Additional fieldssize and type
    nodenamefull 2909-by-79

    Notes:

    ------------------------------------------------------------------------------
    Pajek network converted to sparse adjacency matrix for inclusion in UF sparse 
    matrix collection, Tim Davis.  For Pajek datasets, See V. Batagelj & A. Mrvar,
    http://vlado.fmf.uni-lj.si/pub/networks/data/.                                
    ------------------------------------------------------------------------------
    

    SVD-based statistics:
    norm(A)36.3287
    min(svd(A))0
    cond(A)Inf
    rank(A)1,959
    null space dimension950
    full numerical rank?no
    singular value gap2.69654e+12

    singular values (MAT file):click here
    SVD method used:s = svd (full (A)) ;
    status:ok

    Pajek/ODLIS svd

    For a description of the statistics displayed above, click here.

    Maintained by Tim Davis, last updated 12-Mar-2014.
    Matrix pictures by cspy, a MATLAB function in the CSparse package.
    Matrix graphs by Yifan Hu, AT&T Labs Visualization Group.